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  4. Parallel symbolic execution on cluster of commodity hardware
 
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Parallel symbolic execution on cluster of commodity hardware

Bucur, Stefan
•
Zamfir, Cristian
•
Candea, George
2014

A symbolic execution task is dynamically divided among multiple computing nodes. Each of the multiple computing nodes explores a different portion of a same symbolic execution tree independently of other computing nodes. Workload status updates are received from the multiple computing nodes. A workload status update includes a length of a job queue of a computing node. A list of the multiple computing nodes ordered based on the computing nodes' job queue lengths is generated. A determination is made regarding whether a first computing node in the list is underloaded. A determination is made regarding whether a last computing node in the list is overloaded. Responsive to the first computing node being underloaded and the last computing node being overloaded, a job transfer request is generated that instructs the last computing node to transfer a set of one or more jobs to the first computing node.

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